What Is an AI Software Factory? Lessons from 3 Client Deployments

This explains what an AI software factory is and why the surrounding system matters more than any single coding agent. An AI software factory is defined as a managed workflow that turns defined business intent into validated, released software changes by connecting intent, relevant context, execution, verification, approval, release, and feedback. The core argument is that coding agents can perform development tasks, but the real value comes from the infrastructure that orchestrates who or what starts work, what context and actions are allowed, how results are verified, and who signs off - with human-led governance because fully autonomous “dark” factories remain unrealistic today.

The practical proposal is a generalized model called NEST, distilled from three client deployments, organized around seven evaluation areas: operational visibility, agent management, configuration, projects, team assembly, reusable capabilities, and human collaboration. Key specifics include an operational dashboard tying spend, tasks, issues, and delivery metrics (including a suggested cost-per-accepted-change calculation); an agent directory that makes roles, ownership, scope (horizontal vs. vertical), and status visible; and agent configuration that links prompts to models, tools, workspaces, and access boundaries. Emphasis falls on verification as the frequent bottleneck, the need to integrate with existing CI/CD, and treating these seven blocks as an evaluation framework for governance and adoption rather than a literal product checklist.